use of org.apache.hadoop.hive.metastore.api.DoubleColumnStatsData in project hive by apache.
the class TestHiveMetaStore method testColumnStatistics.
public void testColumnStatistics() throws Throwable {
String dbName = "columnstatstestdb";
String tblName = "tbl";
String typeName = "Person";
String tblOwner = "testowner";
int lastAccessed = 6796;
try {
cleanUp(dbName, tblName, typeName);
Database db = new Database();
db.setName(dbName);
client.createDatabase(db);
createTableForTestFilter(dbName, tblName, tblOwner, lastAccessed, true);
// Create a ColumnStatistics Obj
String[] colName = new String[] { "income", "name" };
double lowValue = 50000.21;
double highValue = 1200000.4525;
long numNulls = 3;
long numDVs = 22;
double avgColLen = 50.30;
long maxColLen = 102;
String[] colType = new String[] { "double", "string" };
boolean isTblLevel = true;
String partName = null;
List<ColumnStatisticsObj> statsObjs = new ArrayList<ColumnStatisticsObj>();
ColumnStatisticsDesc statsDesc = new ColumnStatisticsDesc();
statsDesc.setDbName(dbName);
statsDesc.setTableName(tblName);
statsDesc.setIsTblLevel(isTblLevel);
statsDesc.setPartName(partName);
ColumnStatisticsObj statsObj = new ColumnStatisticsObj();
statsObj.setColName(colName[0]);
statsObj.setColType(colType[0]);
ColumnStatisticsData statsData = new ColumnStatisticsData();
DoubleColumnStatsData numericStats = new DoubleColumnStatsData();
statsData.setDoubleStats(numericStats);
statsData.getDoubleStats().setHighValue(highValue);
statsData.getDoubleStats().setLowValue(lowValue);
statsData.getDoubleStats().setNumDVs(numDVs);
statsData.getDoubleStats().setNumNulls(numNulls);
statsObj.setStatsData(statsData);
statsObjs.add(statsObj);
statsObj = new ColumnStatisticsObj();
statsObj.setColName(colName[1]);
statsObj.setColType(colType[1]);
statsData = new ColumnStatisticsData();
StringColumnStatsData stringStats = new StringColumnStatsData();
statsData.setStringStats(stringStats);
statsData.getStringStats().setAvgColLen(avgColLen);
statsData.getStringStats().setMaxColLen(maxColLen);
statsData.getStringStats().setNumDVs(numDVs);
statsData.getStringStats().setNumNulls(numNulls);
statsObj.setStatsData(statsData);
statsObjs.add(statsObj);
ColumnStatistics colStats = new ColumnStatistics();
colStats.setStatsDesc(statsDesc);
colStats.setStatsObj(statsObjs);
// write stats objs persistently
client.updateTableColumnStatistics(colStats);
// retrieve the stats obj that was just written
ColumnStatisticsObj colStats2 = client.getTableColumnStatistics(dbName, tblName, Lists.newArrayList(colName[0])).get(0);
// compare stats obj to ensure what we get is what we wrote
assertNotNull(colStats2);
assertEquals(colStats2.getColName(), colName[0]);
assertEquals(colStats2.getStatsData().getDoubleStats().getLowValue(), lowValue);
assertEquals(colStats2.getStatsData().getDoubleStats().getHighValue(), highValue);
assertEquals(colStats2.getStatsData().getDoubleStats().getNumNulls(), numNulls);
assertEquals(colStats2.getStatsData().getDoubleStats().getNumDVs(), numDVs);
// test delete column stats; if no col name is passed all column stats associated with the
// table is deleted
boolean status = client.deleteTableColumnStatistics(dbName, tblName, null);
assertTrue(status);
// try to query stats for a column for which stats doesn't exist
assertTrue(client.getTableColumnStatistics(dbName, tblName, Lists.newArrayList(colName[1])).isEmpty());
colStats.setStatsDesc(statsDesc);
colStats.setStatsObj(statsObjs);
// update table level column stats
client.updateTableColumnStatistics(colStats);
// query column stats for column whose stats were updated in the previous call
colStats2 = client.getTableColumnStatistics(dbName, tblName, Lists.newArrayList(colName[0])).get(0);
// partition level column statistics test
// create a table with multiple partitions
cleanUp(dbName, tblName, typeName);
List<List<String>> values = new ArrayList<List<String>>();
values.add(makeVals("2008-07-01 14:13:12", "14"));
values.add(makeVals("2008-07-01 14:13:12", "15"));
values.add(makeVals("2008-07-02 14:13:12", "15"));
values.add(makeVals("2008-07-03 14:13:12", "151"));
createMultiPartitionTableSchema(dbName, tblName, typeName, values);
List<String> partitions = client.listPartitionNames(dbName, tblName, (short) -1);
partName = partitions.get(0);
isTblLevel = false;
// create a new columnstatistics desc to represent partition level column stats
statsDesc = new ColumnStatisticsDesc();
statsDesc.setDbName(dbName);
statsDesc.setTableName(tblName);
statsDesc.setPartName(partName);
statsDesc.setIsTblLevel(isTblLevel);
colStats = new ColumnStatistics();
colStats.setStatsDesc(statsDesc);
colStats.setStatsObj(statsObjs);
client.updatePartitionColumnStatistics(colStats);
colStats2 = client.getPartitionColumnStatistics(dbName, tblName, Lists.newArrayList(partName), Lists.newArrayList(colName[1])).get(partName).get(0);
// compare stats obj to ensure what we get is what we wrote
assertNotNull(colStats2);
assertEquals(colStats.getStatsDesc().getPartName(), partName);
assertEquals(colStats2.getColName(), colName[1]);
assertEquals(colStats2.getStatsData().getStringStats().getMaxColLen(), maxColLen);
assertEquals(colStats2.getStatsData().getStringStats().getAvgColLen(), avgColLen);
assertEquals(colStats2.getStatsData().getStringStats().getNumNulls(), numNulls);
assertEquals(colStats2.getStatsData().getStringStats().getNumDVs(), numDVs);
// test stats deletion at partition level
client.deletePartitionColumnStatistics(dbName, tblName, partName, colName[1]);
colStats2 = client.getPartitionColumnStatistics(dbName, tblName, Lists.newArrayList(partName), Lists.newArrayList(colName[0])).get(partName).get(0);
// test get stats on a column for which stats doesn't exist
assertTrue(client.getPartitionColumnStatistics(dbName, tblName, Lists.newArrayList(partName), Lists.newArrayList(colName[1])).isEmpty());
} catch (Exception e) {
System.err.println(StringUtils.stringifyException(e));
System.err.println("testColumnStatistics() failed.");
throw e;
} finally {
cleanUp(dbName, tblName, typeName);
}
}
use of org.apache.hadoop.hive.metastore.api.DoubleColumnStatsData in project hive by apache.
the class StatObjectConverter method convertToMPartitionColumnStatistics.
public static MPartitionColumnStatistics convertToMPartitionColumnStatistics(MPartition partition, ColumnStatisticsDesc statsDesc, ColumnStatisticsObj statsObj) throws MetaException, NoSuchObjectException {
if (statsDesc == null || statsObj == null) {
return null;
}
MPartitionColumnStatistics mColStats = new MPartitionColumnStatistics();
mColStats.setPartition(partition);
mColStats.setDbName(statsDesc.getDbName());
mColStats.setTableName(statsDesc.getTableName());
mColStats.setPartitionName(statsDesc.getPartName());
mColStats.setLastAnalyzed(statsDesc.getLastAnalyzed());
mColStats.setColName(statsObj.getColName());
mColStats.setColType(statsObj.getColType());
if (statsObj.getStatsData().isSetBooleanStats()) {
BooleanColumnStatsData boolStats = statsObj.getStatsData().getBooleanStats();
mColStats.setBooleanStats(boolStats.isSetNumTrues() ? boolStats.getNumTrues() : null, boolStats.isSetNumFalses() ? boolStats.getNumFalses() : null, boolStats.isSetNumNulls() ? boolStats.getNumNulls() : null);
} else if (statsObj.getStatsData().isSetLongStats()) {
LongColumnStatsData longStats = statsObj.getStatsData().getLongStats();
mColStats.setLongStats(longStats.isSetNumNulls() ? longStats.getNumNulls() : null, longStats.isSetNumDVs() ? longStats.getNumDVs() : null, longStats.isSetLowValue() ? longStats.getLowValue() : null, longStats.isSetHighValue() ? longStats.getHighValue() : null);
} else if (statsObj.getStatsData().isSetDoubleStats()) {
DoubleColumnStatsData doubleStats = statsObj.getStatsData().getDoubleStats();
mColStats.setDoubleStats(doubleStats.isSetNumNulls() ? doubleStats.getNumNulls() : null, doubleStats.isSetNumDVs() ? doubleStats.getNumDVs() : null, doubleStats.isSetLowValue() ? doubleStats.getLowValue() : null, doubleStats.isSetHighValue() ? doubleStats.getHighValue() : null);
} else if (statsObj.getStatsData().isSetDecimalStats()) {
DecimalColumnStatsData decimalStats = statsObj.getStatsData().getDecimalStats();
String low = decimalStats.isSetLowValue() ? createJdoDecimalString(decimalStats.getLowValue()) : null;
String high = decimalStats.isSetHighValue() ? createJdoDecimalString(decimalStats.getHighValue()) : null;
mColStats.setDecimalStats(decimalStats.isSetNumNulls() ? decimalStats.getNumNulls() : null, decimalStats.isSetNumDVs() ? decimalStats.getNumDVs() : null, low, high);
} else if (statsObj.getStatsData().isSetStringStats()) {
StringColumnStatsData stringStats = statsObj.getStatsData().getStringStats();
mColStats.setStringStats(stringStats.isSetNumNulls() ? stringStats.getNumNulls() : null, stringStats.isSetNumDVs() ? stringStats.getNumDVs() : null, stringStats.isSetMaxColLen() ? stringStats.getMaxColLen() : null, stringStats.isSetAvgColLen() ? stringStats.getAvgColLen() : null);
} else if (statsObj.getStatsData().isSetBinaryStats()) {
BinaryColumnStatsData binaryStats = statsObj.getStatsData().getBinaryStats();
mColStats.setBinaryStats(binaryStats.isSetNumNulls() ? binaryStats.getNumNulls() : null, binaryStats.isSetMaxColLen() ? binaryStats.getMaxColLen() : null, binaryStats.isSetAvgColLen() ? binaryStats.getAvgColLen() : null);
} else if (statsObj.getStatsData().isSetDateStats()) {
DateColumnStatsData dateStats = statsObj.getStatsData().getDateStats();
mColStats.setDateStats(dateStats.isSetNumNulls() ? dateStats.getNumNulls() : null, dateStats.isSetNumDVs() ? dateStats.getNumDVs() : null, dateStats.isSetLowValue() ? dateStats.getLowValue().getDaysSinceEpoch() : null, dateStats.isSetHighValue() ? dateStats.getHighValue().getDaysSinceEpoch() : null);
}
return mColStats;
}
use of org.apache.hadoop.hive.metastore.api.DoubleColumnStatsData in project hive by apache.
the class StatObjectConverter method getTableColumnStatisticsObj.
public static ColumnStatisticsObj getTableColumnStatisticsObj(MTableColumnStatistics mStatsObj) {
ColumnStatisticsObj statsObj = new ColumnStatisticsObj();
statsObj.setColType(mStatsObj.getColType());
statsObj.setColName(mStatsObj.getColName());
String colType = mStatsObj.getColType().toLowerCase();
ColumnStatisticsData colStatsData = new ColumnStatisticsData();
if (colType.equals("boolean")) {
BooleanColumnStatsData boolStats = new BooleanColumnStatsData();
boolStats.setNumFalses(mStatsObj.getNumFalses());
boolStats.setNumTrues(mStatsObj.getNumTrues());
boolStats.setNumNulls(mStatsObj.getNumNulls());
colStatsData.setBooleanStats(boolStats);
} else if (colType.equals("string") || colType.startsWith("varchar") || colType.startsWith("char")) {
StringColumnStatsData stringStats = new StringColumnStatsData();
stringStats.setNumNulls(mStatsObj.getNumNulls());
stringStats.setAvgColLen(mStatsObj.getAvgColLen());
stringStats.setMaxColLen(mStatsObj.getMaxColLen());
stringStats.setNumDVs(mStatsObj.getNumDVs());
colStatsData.setStringStats(stringStats);
} else if (colType.equals("binary")) {
BinaryColumnStatsData binaryStats = new BinaryColumnStatsData();
binaryStats.setNumNulls(mStatsObj.getNumNulls());
binaryStats.setAvgColLen(mStatsObj.getAvgColLen());
binaryStats.setMaxColLen(mStatsObj.getMaxColLen());
colStatsData.setBinaryStats(binaryStats);
} else if (colType.equals("bigint") || colType.equals("int") || colType.equals("smallint") || colType.equals("tinyint") || colType.equals("timestamp")) {
LongColumnStatsData longStats = new LongColumnStatsData();
longStats.setNumNulls(mStatsObj.getNumNulls());
Long longHighValue = mStatsObj.getLongHighValue();
if (longHighValue != null) {
longStats.setHighValue(longHighValue);
}
Long longLowValue = mStatsObj.getLongLowValue();
if (longLowValue != null) {
longStats.setLowValue(longLowValue);
}
longStats.setNumDVs(mStatsObj.getNumDVs());
colStatsData.setLongStats(longStats);
} else if (colType.equals("double") || colType.equals("float")) {
DoubleColumnStatsData doubleStats = new DoubleColumnStatsData();
doubleStats.setNumNulls(mStatsObj.getNumNulls());
Double doubleHighValue = mStatsObj.getDoubleHighValue();
if (doubleHighValue != null) {
doubleStats.setHighValue(doubleHighValue);
}
Double doubleLowValue = mStatsObj.getDoubleLowValue();
if (doubleLowValue != null) {
doubleStats.setLowValue(doubleLowValue);
}
doubleStats.setNumDVs(mStatsObj.getNumDVs());
colStatsData.setDoubleStats(doubleStats);
} else if (colType.startsWith("decimal")) {
DecimalColumnStatsData decimalStats = new DecimalColumnStatsData();
decimalStats.setNumNulls(mStatsObj.getNumNulls());
String decimalHighValue = mStatsObj.getDecimalHighValue();
if (decimalHighValue != null) {
decimalStats.setHighValue(createThriftDecimal(decimalHighValue));
}
String decimalLowValue = mStatsObj.getDecimalLowValue();
if (decimalLowValue != null) {
decimalStats.setLowValue(createThriftDecimal(decimalLowValue));
}
decimalStats.setNumDVs(mStatsObj.getNumDVs());
colStatsData.setDecimalStats(decimalStats);
} else if (colType.equals("date")) {
DateColumnStatsData dateStats = new DateColumnStatsData();
dateStats.setNumNulls(mStatsObj.getNumNulls());
Long highValue = mStatsObj.getLongHighValue();
if (highValue != null) {
dateStats.setHighValue(new Date(highValue));
}
Long lowValue = mStatsObj.getLongLowValue();
if (lowValue != null) {
dateStats.setLowValue(new Date(lowValue));
}
dateStats.setNumDVs(mStatsObj.getNumDVs());
colStatsData.setDateStats(dateStats);
}
statsObj.setStatsData(colStatsData);
return statsObj;
}
use of org.apache.hadoop.hive.metastore.api.DoubleColumnStatsData in project hive by apache.
the class StatObjectConverter method getPartitionColumnStatisticsObj.
public static ColumnStatisticsObj getPartitionColumnStatisticsObj(MPartitionColumnStatistics mStatsObj) {
ColumnStatisticsObj statsObj = new ColumnStatisticsObj();
statsObj.setColType(mStatsObj.getColType());
statsObj.setColName(mStatsObj.getColName());
String colType = mStatsObj.getColType().toLowerCase();
ColumnStatisticsData colStatsData = new ColumnStatisticsData();
if (colType.equals("boolean")) {
BooleanColumnStatsData boolStats = new BooleanColumnStatsData();
boolStats.setNumFalses(mStatsObj.getNumFalses());
boolStats.setNumTrues(mStatsObj.getNumTrues());
boolStats.setNumNulls(mStatsObj.getNumNulls());
colStatsData.setBooleanStats(boolStats);
} else if (colType.equals("string") || colType.startsWith("varchar") || colType.startsWith("char")) {
StringColumnStatsData stringStats = new StringColumnStatsData();
stringStats.setNumNulls(mStatsObj.getNumNulls());
stringStats.setAvgColLen(mStatsObj.getAvgColLen());
stringStats.setMaxColLen(mStatsObj.getMaxColLen());
stringStats.setNumDVs(mStatsObj.getNumDVs());
colStatsData.setStringStats(stringStats);
} else if (colType.equals("binary")) {
BinaryColumnStatsData binaryStats = new BinaryColumnStatsData();
binaryStats.setNumNulls(mStatsObj.getNumNulls());
binaryStats.setAvgColLen(mStatsObj.getAvgColLen());
binaryStats.setMaxColLen(mStatsObj.getMaxColLen());
colStatsData.setBinaryStats(binaryStats);
} else if (colType.equals("tinyint") || colType.equals("smallint") || colType.equals("int") || colType.equals("bigint") || colType.equals("timestamp")) {
LongColumnStatsData longStats = new LongColumnStatsData();
longStats.setNumNulls(mStatsObj.getNumNulls());
if (mStatsObj.getLongHighValue() != null) {
longStats.setHighValue(mStatsObj.getLongHighValue());
}
if (mStatsObj.getLongLowValue() != null) {
longStats.setLowValue(mStatsObj.getLongLowValue());
}
longStats.setNumDVs(mStatsObj.getNumDVs());
colStatsData.setLongStats(longStats);
} else if (colType.equals("double") || colType.equals("float")) {
DoubleColumnStatsData doubleStats = new DoubleColumnStatsData();
doubleStats.setNumNulls(mStatsObj.getNumNulls());
if (mStatsObj.getDoubleHighValue() != null) {
doubleStats.setHighValue(mStatsObj.getDoubleHighValue());
}
if (mStatsObj.getDoubleLowValue() != null) {
doubleStats.setLowValue(mStatsObj.getDoubleLowValue());
}
doubleStats.setNumDVs(mStatsObj.getNumDVs());
colStatsData.setDoubleStats(doubleStats);
} else if (colType.startsWith("decimal")) {
DecimalColumnStatsData decimalStats = new DecimalColumnStatsData();
decimalStats.setNumNulls(mStatsObj.getNumNulls());
if (mStatsObj.getDecimalHighValue() != null) {
decimalStats.setHighValue(createThriftDecimal(mStatsObj.getDecimalHighValue()));
}
if (mStatsObj.getDecimalLowValue() != null) {
decimalStats.setLowValue(createThriftDecimal(mStatsObj.getDecimalLowValue()));
}
decimalStats.setNumDVs(mStatsObj.getNumDVs());
colStatsData.setDecimalStats(decimalStats);
} else if (colType.equals("date")) {
DateColumnStatsData dateStats = new DateColumnStatsData();
dateStats.setNumNulls(mStatsObj.getNumNulls());
dateStats.setHighValue(new Date(mStatsObj.getLongHighValue()));
dateStats.setLowValue(new Date(mStatsObj.getLongLowValue()));
dateStats.setNumDVs(mStatsObj.getNumDVs());
colStatsData.setDateStats(dateStats);
}
statsObj.setStatsData(colStatsData);
return statsObj;
}
use of org.apache.hadoop.hive.metastore.api.DoubleColumnStatsData in project hive by apache.
the class TestHBaseStoreIntegration method tableStatistics.
@Test
public void tableStatistics() throws Exception {
long now = System.currentTimeMillis();
String dbname = "default";
String tableName = "statstable";
String boolcol = "boolcol";
String longcol = "longcol";
String doublecol = "doublecol";
String stringcol = "stringcol";
String binarycol = "bincol";
String decimalcol = "deccol";
long trues = 37;
long falses = 12;
long booleanNulls = 2;
long longHigh = 120938479124L;
long longLow = -12341243213412124L;
long longNulls = 23;
long longDVs = 213L;
double doubleHigh = 123423.23423;
double doubleLow = 0.00001234233;
long doubleNulls = 92;
long doubleDVs = 1234123421L;
long strMaxLen = 1234;
double strAvgLen = 32.3;
long strNulls = 987;
long strDVs = 906;
long binMaxLen = 123412987L;
double binAvgLen = 76.98;
long binNulls = 976998797L;
Decimal decHigh = new Decimal();
decHigh.setScale((short) 3);
// I have no clue how this is translated, but it
decHigh.setUnscaled("3876".getBytes());
// doesn't matter
Decimal decLow = new Decimal();
decLow.setScale((short) 3);
decLow.setUnscaled("38".getBytes());
long decNulls = 13;
long decDVs = 923947293L;
List<FieldSchema> cols = new ArrayList<FieldSchema>();
cols.add(new FieldSchema(boolcol, "boolean", "nocomment"));
cols.add(new FieldSchema(longcol, "long", "nocomment"));
cols.add(new FieldSchema(doublecol, "double", "nocomment"));
cols.add(new FieldSchema(stringcol, "varchar(32)", "nocomment"));
cols.add(new FieldSchema(binarycol, "binary", "nocomment"));
cols.add(new FieldSchema(decimalcol, "decimal(5, 3)", "nocomment"));
SerDeInfo serde = new SerDeInfo("serde", "seriallib", null);
StorageDescriptor sd = new StorageDescriptor(cols, "file:/tmp", "input", "output", false, 0, serde, null, null, emptyParameters);
Table table = new Table(tableName, dbname, "me", (int) now / 1000, (int) now / 1000, 0, sd, null, emptyParameters, null, null, null);
store.createTable(table);
ColumnStatistics stats = new ColumnStatistics();
ColumnStatisticsDesc desc = new ColumnStatisticsDesc();
desc.setLastAnalyzed(now);
desc.setDbName(dbname);
desc.setTableName(tableName);
desc.setIsTblLevel(true);
stats.setStatsDesc(desc);
// Do one column of each type
ColumnStatisticsObj obj = new ColumnStatisticsObj();
obj.setColName(boolcol);
obj.setColType("boolean");
ColumnStatisticsData data = new ColumnStatisticsData();
BooleanColumnStatsData boolData = new BooleanColumnStatsData();
boolData.setNumTrues(trues);
boolData.setNumFalses(falses);
boolData.setNumNulls(booleanNulls);
data.setBooleanStats(boolData);
obj.setStatsData(data);
stats.addToStatsObj(obj);
obj = new ColumnStatisticsObj();
obj.setColName(longcol);
obj.setColType("long");
data = new ColumnStatisticsData();
LongColumnStatsData longData = new LongColumnStatsData();
longData.setHighValue(longHigh);
longData.setLowValue(longLow);
longData.setNumNulls(longNulls);
longData.setNumDVs(longDVs);
data.setLongStats(longData);
obj.setStatsData(data);
stats.addToStatsObj(obj);
obj = new ColumnStatisticsObj();
obj.setColName(doublecol);
obj.setColType("double");
data = new ColumnStatisticsData();
DoubleColumnStatsData doubleData = new DoubleColumnStatsData();
doubleData.setHighValue(doubleHigh);
doubleData.setLowValue(doubleLow);
doubleData.setNumNulls(doubleNulls);
doubleData.setNumDVs(doubleDVs);
data.setDoubleStats(doubleData);
obj.setStatsData(data);
stats.addToStatsObj(obj);
store.updateTableColumnStatistics(stats);
stats = store.getTableColumnStatistics(dbname, tableName, Arrays.asList(boolcol, longcol, doublecol));
// We'll check all of the individual values later.
Assert.assertEquals(3, stats.getStatsObjSize());
// check that we can fetch just some of the columns
stats = store.getTableColumnStatistics(dbname, tableName, Arrays.asList(boolcol));
Assert.assertEquals(1, stats.getStatsObjSize());
stats = new ColumnStatistics();
stats.setStatsDesc(desc);
obj = new ColumnStatisticsObj();
obj.setColName(stringcol);
obj.setColType("string");
data = new ColumnStatisticsData();
StringColumnStatsData strData = new StringColumnStatsData();
strData.setMaxColLen(strMaxLen);
strData.setAvgColLen(strAvgLen);
strData.setNumNulls(strNulls);
strData.setNumDVs(strDVs);
data.setStringStats(strData);
obj.setStatsData(data);
stats.addToStatsObj(obj);
obj = new ColumnStatisticsObj();
obj.setColName(binarycol);
obj.setColType("binary");
data = new ColumnStatisticsData();
BinaryColumnStatsData binData = new BinaryColumnStatsData();
binData.setMaxColLen(binMaxLen);
binData.setAvgColLen(binAvgLen);
binData.setNumNulls(binNulls);
data.setBinaryStats(binData);
obj.setStatsData(data);
stats.addToStatsObj(obj);
obj = new ColumnStatisticsObj();
obj.setColName(decimalcol);
obj.setColType("decimal(5,3)");
data = new ColumnStatisticsData();
DecimalColumnStatsData decData = new DecimalColumnStatsData();
LOG.debug("Setting decimal high value to " + decHigh.getScale() + " <" + new String(decHigh.getUnscaled()) + ">");
decData.setHighValue(decHigh);
decData.setLowValue(decLow);
decData.setNumNulls(decNulls);
decData.setNumDVs(decDVs);
data.setDecimalStats(decData);
obj.setStatsData(data);
stats.addToStatsObj(obj);
store.updateTableColumnStatistics(stats);
stats = store.getTableColumnStatistics(dbname, tableName, Arrays.asList(boolcol, longcol, doublecol, stringcol, binarycol, decimalcol));
Assert.assertEquals(now, stats.getStatsDesc().getLastAnalyzed());
Assert.assertEquals(dbname, stats.getStatsDesc().getDbName());
Assert.assertEquals(tableName, stats.getStatsDesc().getTableName());
Assert.assertTrue(stats.getStatsDesc().isIsTblLevel());
Assert.assertEquals(6, stats.getStatsObjSize());
ColumnStatisticsData colData = stats.getStatsObj().get(0).getStatsData();
Assert.assertEquals(ColumnStatisticsData._Fields.BOOLEAN_STATS, colData.getSetField());
boolData = colData.getBooleanStats();
Assert.assertEquals(trues, boolData.getNumTrues());
Assert.assertEquals(falses, boolData.getNumFalses());
Assert.assertEquals(booleanNulls, boolData.getNumNulls());
colData = stats.getStatsObj().get(1).getStatsData();
Assert.assertEquals(ColumnStatisticsData._Fields.LONG_STATS, colData.getSetField());
longData = colData.getLongStats();
Assert.assertEquals(longHigh, longData.getHighValue());
Assert.assertEquals(longLow, longData.getLowValue());
Assert.assertEquals(longNulls, longData.getNumNulls());
Assert.assertEquals(longDVs, longData.getNumDVs());
colData = stats.getStatsObj().get(2).getStatsData();
Assert.assertEquals(ColumnStatisticsData._Fields.DOUBLE_STATS, colData.getSetField());
doubleData = colData.getDoubleStats();
Assert.assertEquals(doubleHigh, doubleData.getHighValue(), 0.01);
Assert.assertEquals(doubleLow, doubleData.getLowValue(), 0.01);
Assert.assertEquals(doubleNulls, doubleData.getNumNulls());
Assert.assertEquals(doubleDVs, doubleData.getNumDVs());
colData = stats.getStatsObj().get(3).getStatsData();
Assert.assertEquals(ColumnStatisticsData._Fields.STRING_STATS, colData.getSetField());
strData = colData.getStringStats();
Assert.assertEquals(strMaxLen, strData.getMaxColLen());
Assert.assertEquals(strAvgLen, strData.getAvgColLen(), 0.01);
Assert.assertEquals(strNulls, strData.getNumNulls());
Assert.assertEquals(strDVs, strData.getNumDVs());
colData = stats.getStatsObj().get(4).getStatsData();
Assert.assertEquals(ColumnStatisticsData._Fields.BINARY_STATS, colData.getSetField());
binData = colData.getBinaryStats();
Assert.assertEquals(binMaxLen, binData.getMaxColLen());
Assert.assertEquals(binAvgLen, binData.getAvgColLen(), 0.01);
Assert.assertEquals(binNulls, binData.getNumNulls());
colData = stats.getStatsObj().get(5).getStatsData();
Assert.assertEquals(ColumnStatisticsData._Fields.DECIMAL_STATS, colData.getSetField());
decData = colData.getDecimalStats();
Assert.assertEquals(decHigh, decData.getHighValue());
Assert.assertEquals(decLow, decData.getLowValue());
Assert.assertEquals(decNulls, decData.getNumNulls());
Assert.assertEquals(decDVs, decData.getNumDVs());
}
Aggregations